Heavy-duty vehicles account for about 25% of EU road transport CO2 emissions and about 6% of total EU emissions. In line with the Paris Agreement and Green Deal targets, Regulation (EU) 2019/1242 setting CO2 emission standards for HDVs (from August 14, 2019) forces the transition to a seamless integration of zero-emission vehicles into fleets. In line with the European 2050 goals ESCALATE aims to demonstrate high-efficiency zHDV powertrains (up to 10% increase) for long-haul applications that will provide a range of 800 km without refueling/recharging and cover at least 500 km average daily operation (6+ months) in real conditions. ESCALATE will achieve this by following modularity and scalability approach starting from the β-level of hardware and software innovations and aiming to reach the γ-level in the first sprint and eventually the δ-level at the project end through its 2 sprint-V-cycle. ESCALATE is built on the novel concepts around 3 main innovation areas, which are: i) Standardized well-designed, cost effective modular and scalable multi-powertrain components; ii) Fast Fueling & Grid-friendly charging solutions; and iii) Digital Twin (DT) & AI-based management tools considering capacity, availability, speed, and nature of the charging infrastructures as well as the fleet structures. Throughout the project lifetime, 5 pilots, 5 DTs and 5 case studies on TCO (with the target of 10% reduction), together with their environmental performance via TranSensusLCA will be performed. The ultimate goal is to develop well-designed modular building blocks with a TRL7/8 based on business model innovations used for 3 types of zHDVs {b-HDV,f-HDV,r-HDV}. Furthermore, 3 white papers will be produced, one of which will contribute defining the pathway for reducing well-to-wheel GHG emissions from HDVs based on results and policy assessments.

The transition to electric long-haul trucking facilitated by Megawatt Charging Systems (MCS) is essential for the efficient decarbonization of the logistics transport sector. Despite the significant technological progress made, vital challenges for full adoption and scaling of the MCS systems are still to overcome. Addressing the latter though targeted research and innovation piloting activities will be crucial for realizing the full potential of MCS technology towards a significant leap not only in electrifying the commercial transport but for the achievement of broader environmental goals of the Paris Agreement, EU Green Deal and Fitfor55 package of 90% reduction of the emissions by 2040. In response to the challenges, MACBETH—MULTIPOINT MEGAWATT CHARGING FOR BATTERY ELECTRIC TRUCK HUBS aims to pilot and showcase user-centric MCS charging hubs combined with tools that can facilitate the rapid and mass deployment and scale up of such systems in Europe. To address many of technical, social and economic challenges of mass deployment of megawatt chargers MACBETH intends to build two demonstration sites, in Nordics and Benelux area of Europe with the intention to cover various geographic contexts, operational conditions and scenarios, users’ needs, and business cases and provide valuable experiences and learnings for various industrial, research and policies stakeholders for future deployments. With a strong focus on its industrial cluster, MACBETH contributes to the real-world demonstration of charging infrastructure and service offerings for regional and long-haul electric trucks along TEN-T corridors, logistic terminals, and depots covering multiple countries and it is set to deliver system-level multipoint MCS hub concept at Technology Readiness Level (TRL) of 8 by the end of the project.

The AHEAD (AI-informed Holistic Electric Vehicles Integration Approaches for Distribution Grids) project will create a simulation environment capable of predicting the most convenient location to place the electric vehicle (EV) charging stations and optimise both the usage of the power grid resources, and the charging stations located in urban and rural areas. This simulation environment will exploit the unique features of currently available AI models and include two layers: the spatial mapping one (placing the chargers where the people need them to be), and the power grid one (placing the chargers where the grid can support them). Innovative smart charging algorithms will be designed and tested in the model, to minimise the impact of EV charging pools on the network, and ensure the consumers have economic benefits. Moreover, these smart charging algorithms will be tested in three demonstration sites, dedicated to assessing the technical and economic feasibility of smart charging light and heavy-duty EVs, and boats. To this end, AHEAD gathered relevant partners from all the EV value-chain: technology providers who want to test their equipment in the real world, grid operators, who want to optimise the usage of the grid resources and mitigate the EV charging impact, and research institutions, who aim at advancing the knowledge on the topic and producing value for society. Particular attention is going to be placed on the user experience and cybersecurity part of the demonstrators, with specific partners who focus their efforts on understanding how to minimize the impact of smart charging on the user experience and on creating a model to represent cyber-attacks on the chargers to suggest efficient defensive mechanisms for system protection.

The overarching goal of PowerizeD is to develop breakthrough technologies of digitalized and intelligent power electronics, in order to enable sustainable and resilient energy generation, transmission and applications. PowerizeD enhances the level of mechanical and electrical integration of new driver circuits into power electronics and allows for the first time common optimization of all power switch functionalities. Regarding data sharing along the value chain, PowerizeD drives the novel approach of Federated Learning as a methodical approach to an intrinsically encrypted transfer of confidential and proprietary data. Also new is the usage of detailed electrical physical models in digital twins of real time digitally monitored and controlled power electronic devices. Unlike other projects focusing on competence and technology with limited effort on demonstration, this project will start from vital societal needs, by identifying and analyzing the key generic technology challenges from broad application scopes. Major effort will be spent on cross-domain research and innovation. The developed technologies will be demonstrated and evaluated via a large number of universally applicable results. To realize this ambition, a large project consortium will incorporate the needed competencies and resources along the whole value chain. 24 Large Entities, 19 Small Medium Enterprises and 22 research partners from 12 EU countries – representing the entire value chain from materials to “system of systems” – strive to demonstrate the applicability of these innovative approaches to multiple industrial domains. Among the concrete objectives are a 25% reduction or power losses, a device and system lifetime increase of 30%, a chip size reduction of at least 10% and a shortening of the design time by 50%. By this, PowerizeD addresses the three megatrends Independence, Sustainability and Digitalization, thereby opening pathways to massive economic and societal benefits for the EU.